Exploiting Witness to Simulate a Passenger Lift Call Strategy

Abstract --

This paper reports on a project that simulates the behaviour of a passenger lift in the Manchester Metropolitan University (MMU) Law School building and aims to develop effective strategies so that the average waiting time of passengers could be reduced as well as reducing the distance travelled by the lift car. Site investigation is firstly carried out to observe the behaviour of lift, and to obtain lift usage data. 

This project seeks to provide a more efficient and effective lift call strategy based on using WITNESS 13 simulation software. A base model representing the current installation was developed leading to a number of experiments designed to test different lift call strategies.

In comparison to the base model the improvedstrategic model is able to reduce the average passenger queue waiting time by nearly 15%. Unfortantly the reduction in the queue waiting time came at the expense of marginally increasing the distance travelled by the lift cars during the peak period. Overall the the project was deemed successful opening lots of scope for further scenario testing.

Indexing Terms/Keywords --

Elevator;discrete event simulation; dispatching strategy; Lift; Simulation; Witness.

References --

[1] A. De Almeida, S. Hirzel, C. Patrao, J. Fong and E Dutschke: Energy-efficient elevators and escalators in Europe, Energy and Buildings, Vol 47, pp 151-158, (2012).

[2] X. Yuan, L. Busoniu, and R. Babuska: Reinforcement learning for elevator control, Proceedings 17th IFAC World Congress (IFAC-08), Seoul, Korea, ISSN 2212-2217,(2008).

[3] J. Horejsi, P. Horejsi, and M. Latif: Strategies for an Elevator Dispatcher System, Modern Machinery (MM) Science Journal, ,ISSN 1803-1269, pp 234-238, , (2011).

[4] A. Tebbenhof, R. Dekker: Econometrics in the elevator. Medium for Econometric Applications, Vol. 9, Edition 3,  pp26-30, (2000).

[5] P. Cortés, J.R. Fernández, J. Guadix, J.Muñuzuri: Fuzzy Logic based controller for peak traffic detection in elevator systems, Journal of Computational and Theoretical NanoscienceVol.9 (2), pp 310–318, (2012).

[6] Y. Lee, T.S. Kim, H.S. Cho, D.K. Sung, B.D. Choi: Performance analysis of an elevator system during up-peak, Mathematical and Computer Modelling,Vol 49, pp 423–431, (2009).

[7] H.Y. Tang, W.G. Qi, B. Ding: Prediction of elevator traffic flow based on SVM and phase space reconstruction, Journal of Harbin Institute of Technology, Vol18 (3), pp 111–114,(2011)

[8] J. Ahmad: Strategies for an elevator decision support system, MPhil Thesis, Manchester Metropolitan University, Feb 2011.

[9] Witness, The Lanner Group,, 2015.

[10] Y.S Goh, M. Latif,andM. Awais:Investigation of an Elevator Call Strategy, Universal Journal of Industrial and Business Management,Vol 1(2),pp 28-33, (2013).

[11]O. Omar, M. Latif, and M. Awais: Modelling a Multi-car Elevator System using Witness, International Journal of Innovation and Applied Studies, Vol. 4(1), pp. 20-27, (2013)


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About the Author

Muhammad Latif 

School of Engineering, Manchester Metropolitan University, Manchester, UK

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